A portable hazardous chemical accident hazard prediction and early warning system

Abstract

The application provides a portable dangerous chemical accident harm prediction and early warning system, comprising: a multi-sensor data acquisition module, which acquires environmental information and video information of an accident scene in real time, including sensors arranged in the scene in advance and portable sensors connected with a portable prediction and early warning PAD; a rear judgment platform, which receives and processes the collected environmental information and video information, petrochemical enterprise alarm information, dangerous chemical distribution information, fire-fighting facility and protective target distribution information, related department information and the like, performs accident situation prediction, and pushes prediction and early warning information to the portable prediction and early warning PAD; the portable prediction and early warning PAD is connected with the rear judgment platform in real time through wireless communication, receives the prediction and early warning information pushed by the rear judgment platform, resource deployment and scheduling information, and feeds back scene information and resource deployment and scheduling conditions to the rear judgment platform. The application can improve on-site emergency rescue capability and efficiency.

Description

Technical Field

[0001] This invention relates to the field of chemical industrial park detection technology, and in particular to a portable hazardous chemical accident hazard prediction and early warning system. Background Technology

[0002] Within chemical industrial parks, accidents involving hazardous sources at enterprises can trigger chain reactions and major incidents. Therefore, chemical industrial parks need to develop detailed detection and emergency response plans to ensure a rapid and effective response in the event of an accident.

[0003] However, existing accident hazard early warning methods have a slow response speed and cannot make timely assessments and predictions. This results in firefighters being unfamiliar with the situation at the disaster site, making it difficult to predict the development of the accident. At the same time, the lack of scientific emergency rescue methods seriously affects the efficiency of firefighters' on-site rescue.

[0004] Therefore, how to provide a portable accident hazard prediction and early warning device to improve the comprehensive emergency rescue capabilities of fire brigades and further reduce the loss of life and property of disaster victims is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0005] To address the aforementioned technical problems in the existing technology, this invention provides a portable hazardous chemical accident hazard prediction and early warning system, the technical solution of which is as follows:

[0006] A portable hazardous chemical accident hazard prediction and early warning system, the system comprising a multi-sensor data acquisition module, a portable prediction and early warning PAD, and a back-end analysis platform;

[0007] The multi-sensor data acquisition module is used to collect environmental and video information at the accident site in real time. The multi-sensor data acquisition module consists of two parts: one part is sensors that are pre-deployed at the site, and the other part is portable sensors connected to the portable predictive warning PAD.

[0008] The rear-end analysis platform is used to receive and process environmental information and video information, petrochemical enterprise alarm information, hazardous chemical distribution information, fire-fighting facility and protection target distribution information, and data information from relevant departments collected by the multi-sensor data acquisition module, to predict the accident situation, and to push the prediction and early warning information to the portable prediction and early warning PAD.

[0009] The portable predictive and early warning PAD is a device used by on-site emergency personnel. It is connected to the rear analysis platform in real time via wireless communication to receive predictive and early warning information, resource deployment and scheduling information pushed by the rear analysis platform, and at the same time to feed back on-site environmental information, video information and resource deployment and scheduling status to the rear analysis platform.

[0010] Optionally, the multi-sensor data acquisition module includes a wind speed monitoring sensor, a wind direction monitoring sensor, a temperature and humidity monitoring sensor, a gas concentration monitoring sensor, and an infrared video sensor.

[0011] Optionally, the back-end analysis platform includes:

[0012] The data receiving and preprocessing module is used to preprocess the received data, including noise reduction, calibration, and time synchronization. The preprocessed data is then integrated into a unified data model for subsequent use.

[0013] The accident situation prediction module is used to collect a set of images of the chemical industrial park and obtain corresponding geographic data through a geographic information system; based on the set of images and the geographic data, a three-dimensional model of the chemical industrial park is constructed; and the development trend of the accident is predicted in real time using a fire spread model and a gas diffusion model.

[0014] The resource deployment and scheduling module is used to assess resource needs based on the severity and scope of the accident, determine the optimal resource allocation plan, and formulate a reasonable resource deployment and scheduling plan based on the resource needs assessment results and the on-site resource distribution.

[0015] The information push module is used to promptly push accident situation prediction and early warning information and resource deployment and scheduling information to the portable prediction and early warning PAD carried by on-site emergency personnel.

[0016] Optionally, in the fire spread model, fire-related parameters from the data receiving and preprocessing module are received as input data for the model to simulate the development and impact of the fire; the surface heat radiation flux of the pool fire is calculated through the model.

[0017]

[0018] in, E For surface thermal radiation flux, E max The blackbody radiation intensity. s Extinction coefficient, E s The intensity of smoke and dust radiation. L The height of the flame. t As a precipitation factor, W Humidity coefficient; Flame height L The calculation formula is:

[0019]

[0020] in, D The equivalent diameter of the fire;

[0021] Atmospheric transmittance under different weather conditions affects the attenuation of thermal radiation; thermal radiation transmittance is denoted as the humidity coefficient. W Precipitation factors t The rainfall is categorized into different levels and assigned different values.

[0022] The calculated surface thermal radiation flux is used to predict the impact range of a fire on the surrounding area, including high-temperature hazardous areas and the diffusion range of toxic and harmful gases. Combined with a three-dimensional model of the chemical industrial park, the fire spread model can simulate the dynamic evolution of the fire at different points in time and predict the trend and speed of fire spread.

[0023] Optionally, the gas diffusion model is based on an improved Gaussian plume model, assuming that pollutant diffusion follows a normal distribution, and the model formula is:

[0024]

[0025] Where Q is the toxic gas leakage rate, u is the wind speed; σ y , σ z These are the horizontal diffusion coefficient and the vertical diffusion coefficient, respectively, where H is the effective source height. w It is the humidity influence coefficient, λ w It is the specific solubility coefficient of the substance, λ p τ is the substance-specific sedimentation coefficient, τ is the precipitation factor; C(x,y,z) is the concentration of pollutants at coordinates (x,y,z); and H is the humidity influence coefficient. w The calculation formula is:

[0026] H w = RH / 100

[0027] Where RH represents relative humidity;

[0028] The system receives gas leakage-related parameters from the data receiving and preprocessing module, calculates the concentration field using a model, and overlays a GIS map to generate a pollution cloud map; it also imports a 3D model of the chemical industrial park and marks the impact of obstacles on the diffusion path.

[0029] Optionally, in the resource deployment and scheduling module, the types and quantities of required resources, including human resources and material resources, are assessed based on the severity and scope of the accident, and the available resources are matched with the needs to determine the optimal resource allocation plan; wherein, human resources include rescue teams, medical personnel, and volunteers, and material resources include rescue equipment, medical supplies, and living supplies;

[0030] Based on the resource demand assessment results and the on-site resource distribution, the priority of resource allocation is determined according to the urgency of the accident and the importance of the resources, so as to ensure that key areas and critical links are given priority.

[0031] Optionally, the information push module supports multiple push methods, including text, images, and videos, to meet the needs of different scenarios; through the portable prediction and early warning PAD, on-site emergency personnel can receive prediction and early warning information pushed by the information push module in real time, ensuring timely transmission and sharing of information.

[0032] Optionally, the portable predictive warning PAD has a built-in or externally connected portable sensor and camera via a USB interface. The portable predictive warning PAD is equipped with software that supports the sensor, and reads, displays and records the sensor data through the software.

[0033] The beneficial effects of the technical solution provided by this invention include at least the following:

[0034] This invention provides a portable hazardous chemical accident hazard prediction and early warning system. The portable prediction and early warning PAD device works in conjunction with a back-end analysis platform. The portable prediction and early warning PAD is equipped with sensors and a positioning device. When firefighters arrive at the accident site with the portable prediction and early warning PAD, even if the sensors at the accident site are damaged, they can still collect information about the accident scene and transmit it to the back-end analysis platform via a wireless network. The back-end analysis platform, based on integrated hazardous chemical information, fire-fighting facility information, and geographical location information, judges and processes the collected real-time environmental and video information. It uses a built-in model to process the data and displays the processing results on a pre-constructed 3D park map. Furthermore, the back-end analysis platform analyzes information such as emergency resources and fire-fighting facilities within the accident's impact area, providing a scientific basis for disaster early warning and emergency rescue decisions. It quickly transmits the accident prediction results and emergency rescue decisions to the portable prediction and early warning PAD, enabling on-site personnel to carry out appropriate rescue work, significantly improving rescue efficiency. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a schematic diagram of the structure of the portable hazardous chemical accident hazard prediction and early warning system provided in an embodiment of the present invention;

[0037] Figure 2 This is a schematic diagram of a portable prediction and early warning PAD provided in an embodiment of the present invention. Detailed Implementation

[0038] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0039] In embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Rather, the use of the term "exemplary" is intended to present the concept in a specific manner.

[0040] This invention provides a portable hazardous chemical accident hazard prediction and early warning system, such as... Figure 1 As shown, the system includes a multi-sensor data acquisition module, a portable predictive early warning PAD, and a back-end analysis platform.

[0041] The multi-sensor data acquisition module includes wind speed monitoring sensors, wind direction monitoring sensors, temperature and humidity monitoring sensors, gas concentration monitoring sensors, and infrared video sensors, which are used to collect environmental and video information at the accident site in real time.

[0042] In this embodiment of the invention, the multi-sensor data acquisition module comprises two parts. One part consists of sensors pre-deployed on-site, which can be used to monitor daily environmental information and video information. When an accident or abnormality occurs, the on-site sensors will immediately sound an alarm and input the accident scene information into the rear analysis platform. The other part consists of portable sensors connected to a portable predictive warning PAD, which can be used to monitor wind speed, wind direction, temperature, humidity, and gas concentration. The portable predictive warning PAD is also equipped with a camera, which can collect video information. When the sensors at the accident scene are damaged, the sensors configured on the portable predictive warning PAD play a crucial role.

[0043] The rear-end analysis platform is used to receive and process environmental and video information collected by the multi-sensor data acquisition module, alarm information from petrochemical enterprises, distribution information of hazardous chemicals, distribution information of fire-fighting facilities and protective targets, as well as data information from relevant departments, to predict the accident situation and push the predicted early warning information to the portable prediction and early warning PAD.

[0044] In this embodiment of the invention, the back-end analysis platform includes a data receiving and preprocessing module, an accident situation prediction module, a resource deployment and scheduling module, and an information push module. The functions of each module are described in detail below.

[0045] The data receiving and preprocessing module is used to preprocess the received data, including noise reduction, calibration, and time synchronization. The preprocessed data is then integrated into a unified data model for subsequent use.

[0046] Specifically, the data sources include real-time sensor data, petrochemical enterprise alarm information, hazardous chemical types and distribution information, fire-fighting facility and protection target distribution information, as well as data from departments such as housing and construction, meteorology, earthquake, and water resources. This data is integrated into the back-end analysis platform via data interfaces, with data sources including internal enterprise systems and government department databases. The platform employs interfacing and data acquisition technology supporting multiple standard industrial control communication protocols, serial port signals, and middleware databases to achieve high-speed transmission and access of fire and rescue situation-related data, such as risk assessment, disaster damage, accident development trends, hazardous chemical data, vital sign data, personnel location, real-time weather, protection targets, and response and rescue suggestions. Sensor data is transmitted to the back-end analysis platform via wireless networks (4G / 5G) or wired networks. The platform preprocesses this data, performing tasks such as noise reduction, calibration, and time synchronization, before integrating it into a unified data model for subsequent accident prediction.

[0047] The accident situation prediction module is used to collect image sets of the chemical industrial park and obtain corresponding geographic data through a Geographic Information System (GIS). Based on the image sets and geographic data, a 3D model of the chemical industrial park is constructed. Fire spread models and gas diffusion models are used to predict the development trend of the accident in real time. These models require a large number of input parameters from the multi-sensor data acquisition module, such as fuel type, leakage rate, ambient wind speed, wind direction, temperature, and humidity. Through these models, the impact range and trend of the accident can be predicted, providing a scientific basis for emergency response.

[0048] Specifically, in the fire spread model, fire-related parameters, including fuel type, leakage rate, ambient wind speed, wind direction, and atmospheric stability, are received from the data receiving and preprocessing module. These fire-related parameters are used as input data for the model to simulate the development and impact of the fire. The surface thermal radiation flux of the pool fire is calculated through the model.

[0049]

[0050] in, E For surface thermal radiation flux, E max The blackbody radiation intensity. s Extinction coefficient, E s The intensity of smoke and dust radiation. L The height of the flame. tAs a precipitation factor, W Humidity coefficient; Flame height L The calculation formula is:

[0051]

[0052] in, D This is the equivalent diameter of the fire.

[0053] Atmospheric transmittance under different weather conditions (such as fog and haze) affects the attenuation of thermal radiation. Thermal radiation transmittance is denoted as the humidity coefficient. W Precipitation factors t The rainfall is classified into different levels based on the amount of precipitation (unit: mm / h) and assigned different levels of classification. t value:

[0054]

[0055] The calculated surface thermal radiation flux is used to predict the impact range of a fire on the surrounding area, including high-temperature hazardous areas and the diffusion range of toxic and harmful gases. Combined with a three-dimensional model of the chemical industrial park, the fire spread model can simulate the dynamic evolution of the fire at different points in time and predict the trend and speed of fire spread.

[0056] Specifically, the gas diffusion model is based on an improved Gaussian plume model, assuming that pollutant diffusion follows a normal distribution, and the model formula is:

[0057]

[0058] Where Q is the toxic gas leakage rate, u is the wind speed; σ y , σ z These are the horizontal diffusion coefficient and the vertical diffusion coefficient, respectively, where H is the effective source height. w It is the humidity influence coefficient, λ w It is the specific solubility coefficient of the substance, λ p τ is the substance-specific sedimentation coefficient, τ is the precipitation factor; C(x,y,z) is the concentration of pollutants at coordinates (x,y,z); and H is the humidity influence coefficient. w The calculation formula is:

[0059] H w = RH / 100

[0060] Here, RH represents relative humidity.

[0061] Receive gas leak-related parameters from the data receiving and preprocessing module, including location, leak rate, duration, material density, real-time wind speed and direction, etc.; use the model to calculate the concentration field and overlay a GIS map to generate a pollution cloud map; import the 3D model of the chemical industrial park and mark the impact of obstacles (buildings, walls) on the diffusion path.

[0062] The resource deployment and scheduling module is used to assess resource needs based on the severity and scope of the accident, determine the optimal resource allocation plan, and formulate a reasonable resource deployment and scheduling plan based on the resource needs assessment results and the on-site resource distribution.

[0063] Specifically, the resource deployment and scheduling module assesses the types and quantities of resources required, including human resources and material resources, based on the severity and scope of the accident, and matches available resources with demand to determine the optimal resource allocation plan; among which, human resources include rescue teams, medical personnel, volunteers, etc., and material resources include rescue equipment, medical supplies, living supplies, etc.

[0064] Based on the resource demand assessment results and the on-site resource distribution, the priority of resource allocation is determined according to the urgency of the accident and the importance of the resources, so as to ensure that key areas and critical links are given priority.

[0065] The information push module is used to promptly push accident situation prediction and early warning information and resource deployment and scheduling information to the portable prediction and early warning PAD carried by on-site emergency personnel.

[0066] Specifically, the information push module supports multiple push methods, including text, images, and videos, to meet the needs of different scenarios. Through the portable predictive warning PAD, on-site emergency personnel receive predictive warning information pushed by the information push module in real time, ensuring timely transmission and sharing of information.

[0067] The portable prediction and early warning PAD is a device used by on-site emergency personnel. It connects to the rear analysis platform in real time via wireless communication. On the one hand, it receives prediction and early warning information, resource deployment and scheduling information pushed by the rear analysis platform. On the other hand, it feeds back on the on-site environmental information, video information and resource deployment and scheduling status to the rear analysis platform.

[0068] like Figure 2As shown, compared to ordinary PADs, the portable predictive warning PAD has built-in or external portable sensors (such as gas, temperature, humidity, wind speed and direction modules) and a camera via a USB interface to enhance its environmental monitoring capabilities. One implementation involves connecting the sensor to a USB adapter board and then to the portable predictive warning PAD via a USB cable. The portable predictive warning PAD has software installed that supports the sensor, which reads, displays, and records the sensor data.

[0069] The usage process of this invention is as follows: The portable predictive early warning PAD device can be connected to various sensors such as wind speed monitoring, wind direction monitoring, gas concentration monitoring, temperature and humidity monitoring, and infrared video monitoring to collect environmental parameters at the accident site in real time. This data is transmitted to the back-end analysis platform via a 4G / 5G network. The back-end analysis platform also integrates the sensors at the accident site; when these sensors malfunction, the sensors configured on the portable predictive early warning PAD take over. The back-end analysis platform connects to fire spread models and toxic gas diffusion models, analyzes the collected data, predicts the development trend of the accident, and pushes the prediction results and early warning information to the portable predictive early warning PAD device via the network to facilitate rescue work by on-site emergency personnel.

[0070] Compared with the prior art, the present invention has the following advantages:

[0071] (1) The portable prediction and early warning PAD device not only receives information pushed by the back-end analysis platform, but also feeds back the situation and resource deployment on site to the back-end analysis platform, forming an information closed loop, so that the back-end analysis platform can adjust the prediction and scheduling plan in a timely manner according to the actual situation on site.

[0072] (2) Portable predictive early warning PADs can be equipped with built-in or external micro sensors, such as gas, temperature and humidity, wind speed and wind direction modules, to further enhance the on-site environmental monitoring capabilities and provide more comprehensive and accurate data support for accident situation analysis and prediction.

[0073] (3) The rear analysis platform integrates on-site situation information of natural disasters and major safety production accidents. This information is mostly distributed in different departments such as earthquake, water conservancy, meteorology, and the company where the incident occurred. There are information barriers between these departments and fire and rescue departments. This platform, in conjunction with sensors, solves the problem of difficulty in obtaining on-site situation information during the rescue process.

[0074] Therefore, this invention is particularly suitable for firefighters to provide rapid response and decision support at the scene of hazardous chemical accidents, which can significantly improve the comprehensive emergency rescue capabilities of fire brigades and further reduce the loss of life and property of disaster victims.

[0075] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0076] The use of terms such as "an embodiment," "an embodiment," "an exemplary embodiment," and "some embodiments" in the specification indicates that the described embodiment may include a specific feature, structure, or characteristic, but not every embodiment necessarily includes that specific feature, structure, or characteristic. Furthermore, when a specific feature, structure, or characteristic is described in connection with an embodiment, implementing such a feature, structure, or characteristic in conjunction with other embodiments (whether explicitly described or not) should be within the knowledge of those skilled in the art.

[0077] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0078] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0079] It should be understood that, in various embodiments of the present invention, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0080] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0081] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0082] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0083] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0084] This invention encompasses any substitutions, modifications, equivalent methods, and solutions made within the spirit and scope of this invention. To provide the public with a thorough understanding of this invention, specific details are described in detail in the following preferred embodiments; however, those skilled in the art will fully understand the invention even without these details. Furthermore, to avoid unnecessary misunderstanding of the essence of this invention, well-known methods, processes, procedures, components, and circuits are not described in detail.

[0085] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A portable hazardous chemical accident hazard prediction and early warning system, characterized in that, The system comprises a multi-sensor data acquisition module, a portable prediction and early warning PAD and a rear judgment platform; The multi-sensor data acquisition module is used for collecting environmental information and video information of the accident site in real time; the multi-sensor data acquisition module comprises two parts, one part is a sensor arranged in the site in advance, and the other part is a portable sensor connected with the portable prediction and early warning PAD; The multi-sensor data acquisition module comprises a wind speed monitoring sensor, a wind direction monitoring sensor, a temperature and humidity monitoring sensor, a gas concentration monitoring sensor and an infrared video sensor; The rear judgment platform is used for receiving and processing the environmental information and video information collected by the multi-sensor data acquisition module, petrochemical enterprise alarm information, dangerous chemical distribution information, fire-fighting facility and protective target distribution information and data information of related departments, predicting an accident situation, and pushing prediction and early warning information to the portable prediction and early warning PAD; The rear judgment platform comprises: a data receiving and preprocessing module, which is used for preprocessing received data, including denoising, calibration, time synchronization, and then integrating the preprocessed data into a unified data model for subsequent use; an accident situation prediction module, which is used for collecting an image set of the chemical industrial park, and obtaining corresponding geographic data through a geographic information system; based on the image set and the geographic data, a three-dimensional model of the chemical industrial park is constructed; a fire spread model and a gas diffusion model are used to predict the development situation of the accident in real time; In the fire spread model, fire-related parameters from the data receiving and preprocessing module are received as input data of the model, which is used to simulate the development and influence of the fire; the surface heat flux of the pool fire is calculated through the model: ； wherein, E is the surface heat flux, E max is the blackbody intensity, s is the extinction coefficient, E s is the soot intensity, L is the flame height, The calculated surface heat flux is used to predict the influence range of the fire on the surrounding area, including the high-temperature dangerous area and the diffusion range of toxic and harmful gas; combined with the three-dimensional model of the chemical industrial park, the fire spread model can simulate the dynamic evolution process of the fire at different time points, and predict the trend and speed of the fire spread; is the precipitation factor, W is the humidity factor; the flame height L is calculated by the formula: ； wherein D Df is the equivalent diameter of the fire; Atmospheric transmittance under different weather conditions will affect the attenuation of thermal radiation, thermal radiation transmittance is denoted as humidity factor W ; Precipitation factor The gas diffusion model is based on an improved Gaussian plume model, which assumes that the pollutant diffusion obeys normal distribution, and the model formula is: According to the amount of precipitation is divided into grades, and give different values; Where RH is the relative humidity; Gas leakage-related parameters from the data receiving and preprocessing module are received, the concentration field is calculated using the model, and the GIS map is superimposed to generate a pollution cloud map; the three-dimensional model of the chemical industrial park is imported, and the influence of obstacles on the diffusion path is marked; ； where Q is the leakage rate of toxic gas, u is the wind speed; σ y , z are the horizontal and vertical diffusion coefficients respectively, H is the effective source height, H w is the humidity influence coefficient, λ w is the material-specific dissolution coefficient, λ p is the material-specific deposition coefficient, and τ is the precipitation factor; C(x, y, z) is the concentration of the pollutant at coordinates (x, y, z); and the calculation formula of the humidity influence coefficient H w is as follows: H w = RH / 100 a resource deployment and scheduling module, which is used for evaluating resource demand according to the severity and influence range of the accident, determining the best resource allocation scheme, and formulating a reasonable resource deployment and scheduling scheme according to the resource demand evaluation result and the distribution of on-site resources; an information pushing module, which is used for pushing the accident situation prediction and early warning information and the resource deployment and scheduling information to the portable prediction and early warning PAD carried by the on-site emergency personnel in time. ​ ​ The portable prediction and early warning PAD is a device used by on-site emergency personnel, which is connected with the rear judgment platform in real time through wireless communication, and is used for receiving the prediction and early warning information, resource deployment and scheduling information pushed by the rear judgment platform, and feeding back the environmental information, video information and resource deployment and scheduling situation of the scene to the rear judgment platform.

2. The portable hazardous chemical accident hazard prediction and warning system according to claim 1, characterized in that, In the resource deployment and scheduling module, the types and quantities of required resources, including human resources and material resources, are evaluated according to the severity and influence range of the accident, and the available resources are matched with the demand to determine the optimal resource allocation scheme; wherein the human resources include rescue teams, medical personnel, volunteers, and the material resources include rescue equipment, medical supplies and living materials; According to the resource demand evaluation result, the priority of resource allocation is determined according to the emergency degree of the accident and the importance of the resources, combined with the distribution of on-site resources.

3. The portable hazardous chemical accident hazard prediction and warning system according to claim 1, characterized in that, The information pushing module supports multiple pushing modes, including text, image and video, to meet the needs in different scenarios; through the portable prediction and early warning PAD, the on-site emergency personnel can receive the prediction and early warning information pushed by the information pushing module in real time, ensuring the timely transmission and sharing of information.

4. The portable hazardous chemical accident hazard prediction and warning system according to claim 1, characterized in that, The portable prediction and early warning PAD is built-in or externally connected with a portable sensor and a camera through a USB interface, and the portable prediction and early warning PAD is installed with software supporting the sensor, which reads the data of the sensor through the software and displays and records the data.

Images